Artificial Intelligence: A Novel Approach for Drug Discovery
- PMID: 31279568
- DOI: 10.1016/j.tips.2019.06.005
Artificial Intelligence: A Novel Approach for Drug Discovery
Abstract
Molecular dynamics (MD) simulations can mechanistically explain receptor function. However, the enormous data sets that they may imply can be a hurdle. Plante and colleagues (Molecules, 2019) recently described a machine learning approach to the analysis of MD simulations. The approach successfully classified ligands and identified functional receptor motifs and thus it seems promising for mechanism-based drug discovery.
Keywords: GPCR; agonist; biased signaling; drug design; machine learning; molecular dynamics.
Copyright © 2019 Elsevier Ltd. All rights reserved.
Comment on
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A Machine Learning Approach for the Discovery of Ligand-Specific Functional Mechanisms of GPCRs.Molecules. 2019 Jun 2;24(11):2097. doi: 10.3390/molecules24112097. Molecules. 2019. PMID: 31159491 Free PMC article.
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